An integrated rock-magnetic and geochemical approach to loess/paleosol sequences from Bohemia and Moravia (Czech Republic): Implications for the Upper Pleistocene paleoenvironment in central Europe

Hošek, Jan; Hambach, Ulrich; Lisá, Lenka; Grygar, Tomáš Matys; Horáček, Ivan; Meszner, Sascha; Knésl, Ilja

doi:10.1016/j.palaeo.2014.11.024

Cited by 62 publications

(22 citation statements)

References 121 publications

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“…In the studies of land conducted by Hanesch and Scholger [17] and Hanesch et.al [18], it was concluded that soil with more organic content had a smaller χm. This is the same result as in the study of Hošek et.al [19]. Rothwell and Lindsay [20] charted the Alport More area in the UK in the terms of the relationship between peatland and χm values.…”

Section: Introductionsupporting

confidence: 84%

“…The χm property changes of soil are affected by how much magnetic mineral are in the soil samples. The soils with higher organic matter content or lower magnetic mineral have lower χm properties [17][18][19]. Layer 1 with lower χm properties is associated with peat soil because lower χm properties tend to show diamagnetic properties, such as in peat [31].…”

Section: K-means Cluster Analysismentioning

confidence: 99%

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Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering

Iryanti¹,

Aminudin²,

Agustine³

et al. 2018

Preprint

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Various type of soils have been identified based on their electrical and magnetic properties, especially with regards to peat soils. Peat soils are commonly considered as partly decomposed vegetation. In this study, electrical and magnetic properties have been used in K-means clustering to identify layers of peat soils. K-means clustering is a partitioning method that treats observations in the data. Data cores were obtained at every centimeter and examined for their electrical conductivity (σ) and magnetic susceptibility (χm) properties. A 291 cm core was obtained at Tegal Arum Village in South Kalimantan, Indonesia. The K-means clustering results indicate two different layers at 148 cm, and this is supported by loss on ignition (LOI) measurements. In the first layers, a 87.65% LOI was found associated with peat soils (above 248 cm). Whereas, in the second layers, there was a 26.11% LOI associated with mineral soils (below 248 cm). The results of this study using K-means clustering can be used to delineate soil layers.

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Section: Introductionsupporting

confidence: 84%

Section: K-means Cluster Analysismentioning

confidence: 99%

Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering

Iryanti¹,

Aminudin²,

Agustine³

et al. 2018

Preprint

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show abstract

“…The composition of continental and continent-derived sediments reflects the interplay between geology, paleotopography, and precipitation patterns, which in turn controls the sediment source area and sediment transport paths in a site-specific interplay (Colin et al, 2014;Zhao et al, 2018 (Bábek et al, 2011;Hošek et al, 2015), the Younger Dryas (centennial timescale) may not be recorded (Zhao et al, 2018). If short climatic events are present in sediment geochemistry and mineralogy, they likely result from changed provenance and transport paths rather than climate itself.…”

Section: Limits Of Weathering Indicesmentioning

confidence: 99%

Checklist for the use of potassium concentrations in siliciclastic sediments as paleoenvironmental archives

Grygar

Mach²,

Martínez

2019

Sedimentary Geology

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Weathering indices quantify the release of mobile elements from source units of soils and sediments. They have been employed in geosciences for more than three decades, but their performance in sedimentary archives can still be improved by deciphering other forcing factors than climatic. From the most common alkali and alkaline earth metals included in the weathering indices, K seems to be most suitable for deciphering paleoclimate records of temperate to subtropical non-arid climates, assuming the interpretation respects the complex of controlling factors on sediment geochemistry. As a case study, normalised K concentrations in siliciclastic sediments of the Most Basin (Miocene period, central Europe) are revisited here and variations compared with modern fluvially transported solids. Existing knowledge on manifold controls of K concentrations in sediments is summarised and used to propose list of possible controlling factors, in particular Al/Si and Zr/Rb as grain-size proxies, Ti/Al as provenance proxy relevant for K concentration in parent rocks,

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“…Magnetic measurements have been successfully adopted in reconstructing the climatic and environmental evolution of marine and continental sediments (Thompson and Oldfield, 1986;Verosub and Roberts, 1995;Dekkers, 1997;Maher and Thompson, 1999;Evans and Heller, 2003;Lu et al, 2013;Nie et al, 2014;Hu et al, 2015;Hošek et al, 2015;Tamuntuan et al, 2015). Magnetic measurements provide a means of characterizing the mineralogy, concentration, and grain size of magnetic minerals contained in sediments in a rapid, economical and non-destructive way (Thompson and Oldfield, 1986).…”

Section: Introductionmentioning

confidence: 99%

Paleoenvironmental reconstruction of the radial sand ridge field in the South Yellow Sea (east China) since 45ka using the sediment magnetic properties and granulometry

Wang

et al. 2015

Journal of Applied Geophysics

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An integrated rock-magnetic and geochemical approach to loess/paleosol sequences from Bohemia and Moravia (Czech Republic): Implications for the Upper Pleistocene paleoenvironment in central Europe

Cited by 62 publications

References 121 publications

Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering

Identifying Peat Soil Layers in the South Kalimantan, Indonesia Using K-Means Clustering

Checklist for the use of potassium concentrations in siliciclastic sediments as paleoenvironmental archives

Paleoenvironmental reconstruction of the radial sand ridge field in the South Yellow Sea (east China) since 45ka using the sediment magnetic properties and granulometry

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